Inflex, s.r.o. | Legionáøská 1085/8 | 779 00 Olomouc | Czech Republic | [email protected] | tel. 00 420 583 802 583 | www.inflex.cz
Technology
The tool is using its platform to analyze e-mail
communication. The platform provides import
mechanism to collect emails from user email accounts
(Outlook, Thunderbird, IMAP, and Gmail) and also
provides algorithms for pre-processing and analysis of the
collected data.
The e-MailMap tool is using this platform to reveal hidden
characteristics of teams and informal groups. In particular,
answering the questions:
! Which people and which topics are important?
! With whom, when and about what a person or group of
persons communicates?
! Who is important in group communication and how
much, i.e. who is the leader and who is involved only
passively?
! Who, in which group, when and how frequently
communicates about a particular topic?
! How much does communication burden the group?
Moreover, how formalized the communication within
the group is?
! What kind of informal communities exist and what is the
content of their communication?
The following graphical outputs were obtained from one
of the two applications of e-MailMap tool that visualizes
outputs of e-mail communication analysis. The
application was created as part of R&D project LF13030 -
Optimizing of working teams by using the SW for analysis
of the social and professional relations in the company
networks (2013-2015, MSM/LF) – TeamNet for short.
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Security and Legal Issues
In order to protect users' privacy, only the sender and
recipient of emails and message subjects are processed.
For deeper analysis it is possible to connect the platform
to tools for analyzing the content of emails and their
attachments.
Analytical Background
The platform is based on analyzing the communication
of the group of persons. The analysis is performed
entirely automatically over data that are sent and
received email messages. The analysis uses several
principles, which should be clear before studying the
outputs:
! The basic unit of all analytical measurements is
a conversation. By conversations we mean a set of
email messages originated from a single initial
message while all other messages in the conversation
are directly or indirectly linked to the initial one (as
replies and forwarded messages).
! No messages that are not part of the conversation
affect the analysis.
! The demandingness of each conversation is
calculated. The parameters used are the number of
messages in that conversation, the number of
participating senders, etc.
! The analysis does not work with the people, but with e-
mail accounts (addresses), hereafter denoted as users.
! The share of the conversation is calculated for each
user and each conversation. The parameters used are
the number of messages the user sent or received in
the conversation and in what mode (recipient, in copy).
e-mailMap
Inflex, s.r.o.
Legionáøská 1085/8 | 779 00 Olomouc | Czech Republic | [email protected] | tel. 00 420 583 802 583 | www.inflex.cz
Analytical Outputs
Every output is always related to a selected context for selected period, thus in effect, automatically detected a group of
important users and terms, respectively.
Charts This output provides a list of all users in the group, all terms of the group and users in different roles. These charts
can be ordered according to two criteria:
! Intensity. It expresses in how many messages and how demanding conversations of the group was the user involved or
term included. It is a recalculated share.
! Participation. It expresses, in how many group conversations (regardless of the number of messages) was the user or
term included.
Intensity and participation can be understood as the importance of user/term in group communication in qualitative or
quantitative sense, respectively. A user with high intensity can be interpreted as "communicates a lot" while high
participation as "he knows everything."
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! During the analysis of the content only words from email
subjects, hereafter denoted as terms, are processed.
! For the analysis is used a setting, which may contain one
or more users and one or more terms. Based on this
setting a related group of users and terms is automatically
detected.
! The algorithm for automatic detection of groups is based
on the selection of users and terms from conversations
whose messages contain specified users and terms. These
conversations are hereafter denoted as group
conversations.
! The specified setting can be complemented with the
selection of time interval when the communication took
place. In this case, the same setting of users and terms at
different times can result in different groups. If no interval
is specified, it will be set automatically based on the
setting.
! Selected users and terms together with time interval
represent a group context.
! It may happen that for a group context cannot be found
a non-empty group.
User Roles in Conversation
Depending on how the user behaved in the
conversation, the system recognized six roles. These
roles define user's profile in the group. The first three
roles are active, i.e. users sent, at least, one message
during the conversation. Other three roles are passive,
i.e. users received, at least, one message in
a conversation, but never sent one.
! Initiator. The sender of the first email in the
conversation.
! Solver. The recipient of the first email who sends, at
least, one mail during the conversation.
! Co-solver. The sender of some email in the
conversation.
! Invited. The recipient of the first email in the
conversation.
! Co-invited. The recipient of some email in the
conversation.
! Notified. The recipient of some email in the
conversation (only in CC field).
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Activity This output provides a statistical overview of the week and total long-term activity of the group, respectively. In
the week's activity, all sent messages of users are counted. Activity is displayed in the form of the heat map expressing the
color-varying intensity of communication activity, hour after hour in each day of the week. Long-term activity is expressed
as a chart, which shows the total number of sent and received messages in the group over different periods (six months to
a month). The output also provides the total number of messages sent and received in the group and estimated the time
required for their processing.
Groups This output provides an overview of the most important e-mail domains in the analyzed communication. Domain
usually belongs to a cooperating group of people, e.g. from another company. The analysis provides an output with up to
five most intensely communicating groups, including the edges expressing the intensity of their relationship. Other groups
are aggregated into a single group called "others." The number of actively communicating users (senders), the number of
messages sent and, the development of communication intensity in time is provided for each group.
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Inflex, s.r.o.
Legionáøská 1085/8 | 779 00 Olomouc | Czech Republic | [email protected] | tel. 00 420 583 802 583 | www.inflex.cz
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e-mailMap
Users This output visualizes detected group in the form of a network. Such network can visualize not only the importance
of individual users but also the importance (strength) of relationships between pairs of users, in a transparent way. One of
the algorithms used in the system provides a possibility to uncover the informal internal structure of the group. The
importance of each user is visualized using the so-called tag-cloud.
Topics The network of terms is visualized in this output in a similar fashion as the network of users. Tag-cloud is also used
in the same way to demonstrate the importance of terms. Some group or a tightly connected sub-group of terms can be
understood as a topic of communication of detected group. Each topic is then represented by a term of high importance.
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Inflex, s.r.o.
Legionáøská 1085/8 | 779 00 Olomouc | Czech Republic | [email protected] | tel. 00 420 583 802 583 | www.inflex.cz
RESEARCH
DEVELOPMENT &Management support tool
e-mailMap
Communication Roles This output provides a well-organized view of users arranged according to their importance
within the group. The arrangement can use a qualitative criterion (intensity) or a quantitative criterion (participation). All
roles in which the user is participating in conversations are measured for each user. The share of individual roles in
a conversation of the group can be viewed as a user's profile in that group. One user may have different profiles in various
detected groups. The output also provides statistical information about how much are individual users burdened by
communication.
Communication Flows This output provides an overview of frequently recurring typical patterns that occur in group
conversations. The more frequent and longer the occurring patterns are the more formalized the communication of the
group is. If there are no patterns or if they occur in small quantities in proportion to the number of conversations, it is
a group with less formalized communication. In detected patterns, it is also possible to see who is active in the formalized
communication of the group, and who is not.
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Inflex, s.r.o.
Legionáøská 1085/8 | 779 00 Olomouc | Czech Republic | [email protected] | tel. 00 420 583 802 583 | www.inflex.cz
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DEVELOPMENT &Management support tool
e-mailMap
Analysis of Communication Participants Network properties and the most important people, such as members of
multiple communities, key players, etc., detected from across the whole network of users (or the selected subset) can be
viewed. Individual analysis of selected user from the network is also available. It reveals the structure of his/her
relationships and resulting constraints or benefits.
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Inflex, s.r.o.
Legionáøská 1085/8 | 779 00 Olomouc | Czech Republic | [email protected] | tel. 00 420 583 802 583 | www.inflex.cz
RESEARCH
DEVELOPMENT &Management support tool
e-mailMap